initial commit: research summarizer with FLAN-T5

README.md

@@ -11,4 +11,21 @@ license: mit
 short_description: Research Paper Summarizer
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/spaces/vikpande/research-paper-summarizer 
+
+This Hugging Face Space summarizes abstracts from arXiv papers using the lightweight `google/flan-t5-base` model.
+
+## 🔍 Features
+- Paste an arXiv.org URL (e.g., https://arxiv.org/abs/2306.10001)
+- Extracts the abstract
+- Summarizes it using FLAN-T5 (text2text-generation model)
+- Runs entirely on CPU, even in free Spaces
+
+## 🚀 How to Run Locally
+```bash
+pip install -r requirements.txt
+python app.py
+```
+
+## ✨ Model Used
+- [google/flan-t5-base](https://huggingface.co/google/flan-t5-base): An instruction-tuned model that supports summarization, question answering, translation, and more.

requirements.txt

@@ -0,0 +1,5 @@
+transformers
+torch
+beautifulsoup4
+requests
+gradio